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Psychological Science and Education

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 1814-2052

ISSN (online): 2311-7273

DOI: http://dx.doi.org/10.17759/pse

License: CC BY-NC 4.0

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Mathematical Aspects of the Concept of Adaptive Training Device 843

Kuravsky L.S., Doctor of Engineering, Dean of the Computer Science Faculty , Moscow State University of Psychology and Education , Moscow, Russia, l.s.kuravsky@gmail.com
Margolis A.A., PhD in Psychology, Acting Rector, Moscow State University of Psychology & Education (MSUPE), Moscow, Russia, margolisaa@mgppu.ru
Marmalyuk P.A., PhD in Engineering, Head of the Laboratory of Psychology and Applied Software, Moscow State University of Psychology & Education, Moscow, Russia, ykk.mail@gmail.com
Panfilova A.S., PhD in Engineering, Head of the Laboratory of Quantitative Psychology, Moscow State University of Psychology & Education, Moscow, Russia, panfilova87@gmail.com
Yuryev G.A., PhD in Physics and Matematics, associate professor, Deputy Dean of the Department of Information Technologies, Moscow State University of Psychology & Education, Moscow, Russia, g.a.yuryev@gmail.com
Abstract
The paper presents a concept of an adaptive training system implied for electronic learning that supports the choice of tasks according to parametric models. This approach is an alternative to the adaptive technologies based on item response theory (IRT). The features of the diagnostic methods underlying the choice of tasks presented in tests include, firstly, the account of the dynamics in an individual’s levels of performance and in the time s/he needs to complete the test, and, secondly, the lesser amount of tasks required to be presented in the training session.

For Reference

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